File system for a capture system

ABSTRACT

A file system can be provided in a capture system to efficiently read and write captured objects. In one embodiment, such a file system includes a plurality of queues to queue captured objects to be written to a disk, each queue being associated with one of a plurality of object types, and each queue containing captured objects of the type associated with each queue. A scheduler can be provided to select one of the plurality of queues, and a block manager to select a partition of a disk, the partition being associated with the object type of the captured objects in the selected queue. A disk controller configured to write contiguous blocks of data from the selected queue to the selected partition is connected to the block manager to enable writing to a disk.

PRIORITY AND RELATED APPLICATIONS

This patent application is related to, incorporates by reference, and claims the priority benefit of U.S. Provisional Application 60/604,197, entitled “File System for a Capture System, filed on Aug. 24, 2004 (Attorney Reference Number 6897.P015Z) and U.S. Provisional Application 60/604,311, entitled “File System Scheduler for a Capture System, filed on Aug. 24, 2004 (Attorney Reference Number 6897.P016Z).

FIELD OF THE INVENTION

The present invention relates to computer networks, and in particular, to a file system.

BACKGROUND

Computer networks and systems have become indispensable tools for modern business. Modern enterprises use such networks for communications and for storage. The information and data stored on the network of a business enterprise is often a highly valuable asset. Modern enterprises use numerous tools to keep outsiders, intruders, and unauthorized personnel from accessing valuable information stored on the network. These tools include firewalls, intrusion detection systems, and packet sniffer devices. However, once an intruder has gained access to sensitive content, there is no network device that can prevent the electronic transmission of the content from the network to outside the network. Similarly, there is no network device that can analyse the data leaving the network to monitor for policy violations, and make it possible to track down information leeks. What is needed is a comprehensive system to capture, store, and analyse all data communicated using the enterprises network.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings in which like reference numerals refer to similar elements and in which:

FIG. 1 is a block diagram illustrating a computer network connected to the Internet;

FIG. 2 is a block diagram illustrating one configuration of a capture system according to one embodiment of the present invention;

FIG. 3 is a block diagram illustrating the capture system according to one embodiment of the present invention;

FIG. 4 is a block diagram illustrating an object assembly module according to one embodiment of the present invention;

FIG. 5 is a block diagram illustrating an object store module according to one embodiment of the present invention;

FIG. 6 is a block diagram illustrating an example hardware architecture for a capture system according to one embodiment of the present invention;

FIG. 7 is a block diagram illustrating a file system for a capture device according to one embodiment of the present invention;

FIG. 8 is a block diagram illustrating a more detailed version of the file system of FIG. 7, according to one embodiment of the present invention; and

FIG. 9 is a flow diagram illustrating object read and write operations, according to one embodiment of the present invention.

DETAILED DESCRIPTION

Although the present system will be discussed with reference to various illustrated examples, these examples should not be read to limit the broader spirit and scope of the present invention. Some portions of the detailed description that follows are presented in terms of algorithms and symbolic representations of operations on data within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the computer science arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, conceived to be a self-consistent sequence of steps leading to a desired result. The steps are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared and otherwise manipulated.

It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers or the like. It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise, it will be appreciated that throughout the description of the present invention, use of terms such as “processing”, “computing”, “calculating”, “determining”, “displaying” or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.

As indicated above, one embodiment of the present invention is instantiated in computer software, that is, computer readable instructions, which, when executed by one or more computer processors/systems, instruct the processors/systems to perform the designated actions. Such computer software may be resident in one or more computer readable media, such as hard drives, CD-ROMs, DVD-ROMs, read-only memory, read-write memory and so on. Such software may be distributed on one or more of these media, or may be made available for download across one or more computer networks (e.g., the Internet). Regardless of the format, the computer programming, rendering and processing techniques discussed herein are simply examples of the types of programming, rendering and processing techniques that may be used to implement aspects of the present invention. These examples should in no way limit the present invention, which is best understood with reference to the claims that follow this description.

Networks

FIG. 1 illustrates a simple prior art configuration of a local area network (LAN) 10 connected to the Internet 12. Connected to the LAN 102 are various components, such as servers 14, clients 16, and switch 18. There are numerous other known networking components and computing devices that can be connected to the LAN 10. The LAN 10 can be implemented using various wireline or wireless technologies, such as Ethernet and 802.11b. The LAN 10 may be much more complex than the simplified diagram in FIG. 1, and may be connected to other LANs as well.

In FIG. 1, the LAN 10 is connected to the Internet 12 via a router 20. This router 20 can be used to implement a firewall, which are widely used to give users of the LAN 10 secure access to the Internet 12 as well as to separate a company's public Web server (can be one of the servers 14) from its internal network, i.e., LAN 10. In one embodiment, any data leaving the LAN 10 towards the Internet 12 must pass through the router 12. However, there the router 20 merely forwards packets to the Internet 12. The router 20 cannot capture, analyze, and searchably store the content contained in the forwarded packets.

One embodiment of the present invention is now illustrated with reference to FIG. 2. FIG. 2 shows the same simplified configuration of connecting the LAN 10 to the Internet 12 via the router 20. However, in FIG. 2, the router 20 is also connected to a capture system 22. In one embodiment, the router 12 splits the outgoing data stream, and forwards one copy to the Internet 12 and the other copy to the capture system 22.

There are various other possible configurations. For example, the router 12 can also forward a copy of all incoming data to the capture system 22 as well. Furthermore, the capture system 22 can be configured sequentially in front of, or behind the router 20, however this makes the capture system 22 a critical component in connecting to the Internet 12. In systems where a router 12 is not used at all, the capture system can be interposed directly between the LAN 10 and the Internet 12. In one embodiment, the capture system 22 has a user interface accessible from a LAN-attached device, such as a client 16.

In one embodiment, the capture system 22 intercepts all data leaving the network. In other embodiments, the capture system can also intercept all data being communicated inside the network 10. In one embodiment, the capture system 22 reconstructs the documents leaving the network 10, and stores them in a searchable fashion. The capture system 22 can then be used to search and sort through all documents that have left the network 10. There are many reasons such documents may be of interest, including network security reasons, intellectual property concerns, corporate governance regulations, and other corporate policy concerns.

Capture System

One embodiment of the present invention is now described with reference to FIG. 3. FIG. 3 shows one embodiment of the capture system 22 in more detail. The capture system 22 includes a network interface module 24 to receive the data from the network 10 or the router 20. In one embodiment, the network interface module 24 is implemented using one or more network interface cards (NIC), e.g., Ethernet cards. In one embodiment, the router 20 delivers all data leaving the network to the network interface module 24.

The captured raw data is then passed to a packet capture module 26. In one embodiment, the packet capture module 26 extracts data packets from the data stream received from the network interface module 24. In one embodiment, the packet capture module 26 reconstructs Ethernet packets from multiple sources to multiple destinations for the raw data stream.

In one embodiment, the packets are then provided the object assembly module 28. The object assembly module 28 reconstructs the objects being transmitted by the packets. For example, when a document is transmitted, e.g. as an email attachment, it is broken down into packets according to various data transfer protocols such as Transmission Control Protocol/Internet Protocol (TCP/IP) and Ethernet. The object assembly module 28 can reconstruct the document from the captured packets.

One embodiment of the object assembly module 28 is now described in more detail with reference to FIG. 4. When packets first enter the object assembly module, they are first provided to a reassembler 36. In one embodiment, the reassembler 36 groups—assembles—the packets into unique flows. For example, a flow can be defined as packets with identical Source IP and Destination IP addresses as well as identical TCP Source and Destination Ports. That is, the reassembler 36 can organize a packet stream by sender and recipient.

In one embodiment, the reassembler 36 begins a new flow upon the observation of a starting packet defined by the data transfer protocol. For a TCP/IP embodiment, the starting packet is generally referred to as the “SYN” packet. The flow can terminate upon observation of a finishing packet, e.g., a “Reset” or “FIN” packet in TCP/IP. If now finishing packet is observed by the reassembler 36 within some time constraint, it can terminate the flow via a timeout mechanism. In an embodiment using the TPC protocol, a TCP flow contains an ordered sequence of packets that can be assembled into a contiguous data stream by the ressembler 36. Thus, in one embodiment, a flow is an ordered data stream of a single communication between a source and a destination.

The flown assembled by the reassember 36 can then is provided to a protocol demultiplexer (demux) 38. In one embodiment, the protocol demux 38 sorts assembled flows using the TCP Ports. This can include performing a speculative classification of the flow contents based on the association of well-known port numbers with specified protocols. For example, Web Hyper Text Transfer Protocol (HTTP) packets—i.e., Web traffic—are typically associated with port 80, File Transfer Protocol (FTP) packets with port 20, Kerberos authentication packets with port 88, and so on. Thus in one embodiment, the protocol demux 38 separates all the different protocols in one flow.

In one embodiment, a protocol classifier 40 also sorts the flows in addition to the protocol demux 38. In one embodiment, the protocol classifier 40—operating either in parallel or in sequence with the protocol demux 38—applies signature filters to the flows to attempt to identify the protocol based solely on the transported data. Furthermore, the protocol demux 38 can make a classification decision based on port number, which is subsequently overridden by protocol classifier 40. For example, if an individual or program attempted to masquerade an illicit communication (such as file sharing) using an apparently benign port such as port 80 (commonly used for HTTP Web browsing), the protocol classifier 40 would use protocol signatures, i.e., the characteristic data sequences of defined protocols, to verify the speculative classification performed by protocol demux 38.

In one embodiment, the object assembly module 28 outputs each flow organized by protocol, which represent the underlying objects. Referring again to FIG. 3, these objects can then be handed over to the object classification module 30 (sometimes also referred to as the “content classifier”) for classification based on content. A classified flow may still contain multiple content objects depending on the protocol used. For example, protocols such as HTTP (Internet Web Surfing) may contain over 100 objects of any number of content types in a single flow. To deconstruct the flow, each object contained in the flow is individually extracted, and decoded, if necessary, by the object classification module 30.

The object classification module 30 uses the inherent properties and signatures of various documents to determine the content type of each object. For example, a Word document has a signature that is distinct from a PowerPoint document, or an Email document. The object classification module 30 can extract out each individual object and sort them out by such content types. Such classification renders the present invention immune from cases where a malicious user has altered a file extension or other property in an attempt to avoid detection of illicit activity.

In one embodiment, the object classification module 30 determines whether each object should be stored or discarded. In one embodiment, this determination is based on a various capture rules. For example, a capture rule can indicate that Web Traffic should be discarded. Another capture rule can indicate that all PowerPoint documents should be stored, except for ones originating from the CEO's IP address. Such capture rules can be implemented as regular expressions, or by other similar means. Several embodiments of the object classification module 30 are described in more detail further below.

In one embodiment, the capture rules are authored by users of the capture system 22. The capture system 22 is made accessible to any network-connected machine through the network interface module 24 and user interface 34. In one embodiment, the user interface 34 is a graphical user interface providing the user with friendly access to the various features of the capture system 22. For example, the user interface 34 can provide a capture rule authoring tool that allows users to write and implement any capture rule desired, which are then applied by the object classification module 30 when determining whether each object should be stored. The user interface 34 can also provide-pre-configured capture rules that the user can select from along with an explanation of the operation of such standard included capture rules. In one embodiment, the default capture rule implemented by the object classification module 30 captures all objects leaving the network 10.

If the capture of an object is mandated by the capture rules, the object classification module 30 can also determine where in the object store module 32 the captured object should be stored. With reference to FIG. 5, in one embodiment, the objects are stored in a content store 44 memory block. Within the content store 44 are files 46 divided up by content type. Thus, for example, if the object classification module determines that an object is a Word document that should be stored, it can store it in the file 46 reserved for Word documents. In one embodiment, the object store module 32 is integrally included in the capture system 22. In other embodiments, the object store module can be external—entirely or in part—using, for example, some network storage technique such as network attached storage (NAS) and storage area network (SAN).

Tag Data Structure

In one embodiment, the content store is a canonical storage location, simply a place to deposit the captured objects. The indexing of the objects stored in the content store 44 is accomplished using a tag database 42. In one embodiment, the tag database 42 is a database data structure in which each record is a “tag” that indexes an object in the content store 44 and contains relevant information about the stored object. An example of a tag record in the tag database 42 that indexes an object stored in the content store 44 is set forth in Table 1:

TABLE 1 Field Name Definition MAC Address Ethernet controller MAC address unique to each capture system Source IP Source Ethernet IP Address of object Destination IP Destination Ethernet IP Address of object Source Port Source TCP/IP Port number of object Destination Port Destination TCP/IP Port number of the object Protocol IP Protocol that carried the object Instance Canonical count identifying object within a protocol capable of carrying multiple data within a single TCP/IP connection Content Content type of the object Encoding Encoding used by the protocol carrying object Size Size of object Timestamp Time that the object was captured Owner User requesting the capture of object (rule author) Configuration Capture rule directing the capture of object Signature Hash signature of object Tag Signature Hash signature of all preceding tag fields

There are various other possible tag fields, and some embodiments can omit numerous tag fields listed in Table 1. In other embodiments, the tag database 42 need not be implemented as a database, and a tag need not be a record. Any data structure capable of indexing an object by storing relational data over the object can be used as a tag data structure. Furthermore, the word “tag” is merely descriptive, other names such as “index” or “relational data store,” would be equally descriptive, as would any other designation performing similar functionality.

The mapping of tags to objects can, in one embodiment, be obtained by using unique combinations of tag fields to construct an object's name. For example, one such possible combination is an ordered list of the Source IP, Destination IP, Source Port, Destination Port, Instance and Timestamp. Many other such combinations including both shorter and longer names are possible. In another embodiment, the tag can contain a pointer to the storage location where the indexed object is stored.

The tag fields shown in Table 1 can be expressed more generally, to emphasize the underlying information indicated by the tag fields in various embodiments. Some of these possible generic tag fields are set forth in Table 2:

TABLE 2 Field Name Definition Device Identity Identifier of capture device Source Address Origination Address of object Destination Address Destination Address of object Source Port Origination Port of object Destination Port Destination Port of the object Protocol Protocol that carried the object Instance Canonical count identifying object within a protocol capable of carrying multiple data within a single connection Content Content type of the object Encoding Encoding used by the protocol carrying object Size Size of object Timestamp Time that the object was captured Owner User requesting the capture of object (rule author) Configuration Capture rule directing the capture of object Signature Signature of object Tag Signature Signature of all preceding tag fields

For many of the above tag fields in Tables 1 and 2, the definition adequately describes the relational data contained by each field. For the content field, the types of content that the object can be labeled as are numerous. Some example choices for content types (as determined, in one embodiment, by the object classification module 30) are JPEG, GIF, BMP, TIFF, PNG (for objects containing images in these various formats); Skintone (for objects containing images exposing human skin); PDF, MSWord, Excel, PowerPoint, MSOffice (for objects in these popular application formats); HTML, WebMail, SMTP, FTP (for objects captured in these transmission formats); Telnet, Rlogin, Chat (for communication conducted using these methods); GZIP, ZIP, TAR (for archives or collections of other objects); Basic_Source, C++_Source, C_Source, Java_Source, FORTRAN_Source, Verilog_Source, VHDL_Source, Assembly_Source, Pascal_Source, Cobol_Source, Ada_Source, Lisp_Source, Perl_Source, XQuery_Source, Hypertext Markup Language, Cascaded Style Sheets, JavaScript, DXF, Spice, Gerber, Mathematica, Matlab, AllegroPCB, ViewLogic, TangoPCAD, BSDL, C_Shell, K_Shell, Bash_Shell, Bourne_Shell, FTP, Telnet, MSExchange, POPS, RFC822, CVS, CMS, SQL, RTSP, MIME, PDF, PS (for source, markup, query, descriptive, and design code authored in these high-level programming languages); C Shell, K Shell, Bash Shell (for shell program scripts); Plaintext (for otherwise unclassified textual objects); Crypto (for objects that have been encrypted or that contain cryptographic elements); Englishtext, Frenchtext, Germantext, Spanishtext, Japanesetext, Chinesetext, Koreantext, Russiantext (any human language text); Binary Unknown, ASCII Unknown, and Unknown (as catchall categories).

The signature contained in the Signature and Tag Signature fields can be any digest or hash over the object, or some portion thereof. In one embodiment, a well-known hash, such as MD5 or SHA1 can be used. In one embodiment the signature is a digital cryptographic signature. In one embodiment, a digital cryptographic signature is a hash signature that is signed with the private key of the capture system 22. Only the capture system 22 knows its own private key, thus, the integrity of the stored object can be verified by comparing a hash of the stored object to the signature decrypted with the public key of the capture system 22, the private and public keys being a public key cryptosystem key pair. Thus, if a stored object is modified from when it was originally captured, the modification will cause the comparison to fail.

Similarly, the signature over the tag stored in the Tag Signature field can also be a digital cryptographic signature. In such an embodiment, the integrity of the tag can also be verified. In one embodiment, verification of the object using the signature, and the tag using the tag signature is performed whenever an object is presented, e.g., displayed to a user. In one embodiment, if the object or the tag is found to have been compromised, an alarm is generated to alert the user that the object displayed may not be identical to the object originally captured.

File System

In one embodiment, the capture system 22 implements an optimized file system to organize the object stored in the object store module 32 and the content store 44 in particular. FIG. 7 illustrates a relationship between the file system 700 and the storage complex 52. In one embodiment, the storage complex 52 is made up in one or more disks that may be arranged redundantly according to RAID or some other storage protocol. When the capture system 22 needs to access the content store to store a captured object or to retrieve an object in response to a query or the tag database, the capture system 22 accesses the storage complex 52 through a file system 700 that organizes the data on the disk and regulates read and write accesses.

Traditional all-purpose file systems are optimized for read operations and efficient data editing. They accomplish this by using inodes organized in a tree structure. In contrast, in one embodiment, file system 700 is optimized for write operations. Furthermore, since the objects once captured should not be edited, efficient editing is not a concern for file system 700.

In one embodiment, the file system 700 is a block-based file system. According to one convention, each block is 512 bytes, but other block sizes can be used. The file system 700 further organizes the blocks into partitions. In one embodiment, a group of contiguous blocks makes up a partition. Partitions can be the same size, but partition size may also vary.

The file system 700 is now described in more detail with reference to FIG. 8. The file system includes an application program interface (API) for interfacing the file system 700 with the operating system, applications, and other components of the capture system 22. When an object is to be stored, it is received through the API 802.

In one embodiment, the file system 700 implements a plurality of queues 804-806 in which objects to be stored can be queued. In one embodiment, there is one queue associated with each object type. In other embodiment, some object types that have no associated queue may be assigned to a catchall queue.

For example, queue 804 can be assigned to Emails, queue 805 can be assigned to Microsoft Word documents, queue 806 can be assigned to JPEG objects, and so on. As discussed above, in one embodiment the content store 44 is partitioned by the file system 700. In one embodiment, each partition is associated with one of the queues (e.g. one of queues 804-806) implemented by the file system 700. Thus, objects of a common type are placed in one queue. When object from the queue are written to disk, each partition filled only has objects from the selected queue.

The file system 700 also includes a scheduler 808. The scheduler controls the read and write bandwidth, and selects the appropriate queue for writing. In one embodiment, the scheduler 808 implements a write policy that guarantees a certain write performance without regard for read performance. In other words, the scheduler 808 policy is such that no read performance guarantee is made, so that a higher write performance can be guaranteed. In this manner, the scheduler 808 optimizes the file system 700 for writes.

The scheduler policy can be adjustable based on user input. In one embodiment, a user can select the level of write performance needed to be guaranteed by the scheduler, up to the physical limit of the disk. The file system 700 also includes a block manager 810 that is responsible for assembling objects into blocks to be written to disk and vice verse when reading from the disk. The file system 700 further includes one or more disk controllers 812 that control the physical reading and writing when interacting with the disk.

One embodiment of object read/write operations carried out by the file system 700 is now described with reference to FIG. 9. Blocks 902-906 represent the arrival of objects from the capture device to the file system 700 that are to be written to disk. Since captured objects are stored on disk, there are generally more objects being written than read. In block 902 a captured object is received from the other modules capture system 22.

In block 904, the object type is determined. Since the object was already classified by content by the object classification module 30, determining the object type can be done by observing the content field of the tag associated with the received object, as discussed above. In one embodiment, the possible object types mirror the possibilities of the content filed discussed above. In other embodiments, some content types may be combined into object types, such as all word processing documents being combined into one object type rather than object types specific to each word processor. Similarly, various image protocols, such as JPEG and GIF, can be combined into an “Image” object type. Other object types not discussed as possible content filed values can also be implemented. In yet another embodiment, the object type may be provided to the file system 700 making block 904 trivial.

In block 906, the received object is placed in a write queue according to object type. In one embodiment, there is one queue associated with each object type. There may be catchall queues implemented, and not all queues are necessarily the same size. The write queues have been discussed above with reference to FIG. 8.

In block 908, the file system scheduler 808 signals the beginning of the write process. In block 910, one of the queues is selected. As explained above, the selected queue will contain objects of one object type associated with the queue. As also explained above, in one embodiment, the disk is divided into partitions storing objects of like type. Thus, in block 912, a partition is selected such that the objects in the partition are the same object type as the objects in the selected queue. If the partition selected is empty, then the selected partition becomes associated with objects of the type contained in the selected queue.

In block 914, blocks representing the objects in the selected queue are written into the selected partition. In one embodiment, the blocks are written onto disk in a contiguous manner, one block after the other. In this embodiment, no complicated inode tree structure is used, since the objects will not be altered after being written to disk. The writing process continues until the scheduler 808 switches to read processing in block 916.

In one embodiment, for so long as write processing continues, the objects from the selected queue are written to disk until the selected queue is empty, at which point another queue is selected. In another embodiment, objects from the selected queue are written to disk until the scheduler 808 selects a different queue. In one embodiment, if the selected queue becomes empty, the scheduler switches to read processing, if there are one or more read requests pending.

When processing a read request, starting at block 918, the disk controller 812 locates the first block of the object to be read on the disk. In block 920, blocks are read into the file system 700 in contiguous blocks starting with the first block. Since there is no read penalty associated with reading additional blocks, blocks are read contiguously until another read request is processed.

Since object queries tend to request objects of like kind or temporal proximity, the arrangement of objects in partitions according to type makes it more likely that objects requested in one query will be read with no disk penalty (moving the disk read needle or waiting for disk rotation) following reading of the first requested object. In block 922, the blocks are reconstructed into the requested object or objects, which are then provided to the capture system 22 in block 924.

General Matters

In several embodiments, the capture system 22 has been described above as a stand-alone device. However, the capture system of the present invention can be implemented on any appliance capable of capturing and analyzing data from a network. For example, the capture system 22 described above could be implemented on one or more of the servers 14 or clients 16 shown in FIG. 1. The capture system 22 can interface with the network 10 in any number of ways, including wirelessly.

In one embodiment, the capture system 22 is an appliance constructed using commonly available computing equipment and storage systems capable of supporting the software requirements. In one embodiment, illustrated by FIG. 6, the hardware consists of a capture entity 46, a processing complex 48 made up of one or more processors, a memory complex 50 made up of one or more memory elements such as RAM and ROM, and storage complex 52, such as a set of one or more hard drives or other digital or analog storage means. In another embodiment, the storage complex 52 is external to the capture system 22, as explained above. In one embodiment, the memory complex stored software consisting of an operating system for the capture system device 22, a capture program, and classification program, a database, a filestore, an analysis engine and a graphical user interface.

Thus, a capture system and a file system for the capture system have been described. In the forgoing description, various specific values were given names, such as “objects,” and various specific modules, such as the “queues” and “scheduler” have been described. However, these names are merely to describe and illustrate various aspects of the present invention, and in no way limit the scope of the present invention. Furthermore various modules can be implemented as software or hardware modules, or without dividing their functionalities into modules at all. The present invention is not limited to any modular architecture either in software or in hardware, whether described above or not. 

1.-19. (canceled)
 20. A capture system, comprising: a file system configured to organize data on a disk and to regulate read and write accesses; a plurality of queues associated with captured objects that are received through the capture system via network traffic, wherein the queues are associated with captured objects having a common trait, and wherein the disk is divided into a plurality of partitions for storing at least some of the captured objects; a scheduler configured to select one of the plurality of queues for performing a particular write operation; and a block manager configured to select one of the partitions of the disk, wherein blocks of data are written from the selected queue to the selected partition.
 21. The capture system of claim 20, wherein the file system is a block-based file system including contiguous blocks that form the plurality of partitions.
 22. The capture system of claim 20, wherein the file system includes an application program interface (API) for interfacing with an operating system of the capture system.
 23. The capture system of claim 20, wherein the plurality of queues includes a catchall queue for objects not having their own designated queue.
 24. The capture system of claim 20, wherein object type determinations are performed by identifying a content field of a tag associated with a particular captured object.
 25. The capture system of claim 20, wherein at least one of the queues is associated with e-mails or word processing documents.
 26. The capture system of claim 20, wherein the scheduler implements a write policy that designates a certain write performance without regard to read performance.
 27. The capture system of claim 20, wherein the captured objects represented by particular blocks of data can be retrieved in response to a query to search for a tag included in one or more of the captured objects.
 28. A method, comprising: receiving network traffic via a capture system configured for capturing objects, wherein the capture system includes a file system configured to organize data on a disk and to regulate read and write accesses, and wherein the capture system further includes a plurality of queues associated with captured objects that are received through the capture system via network traffic, wherein the queues are associated with captured objects having a common trait, and wherein the disk is divided into a plurality of partitions for storing at least some of the captured objects; selecting one of the plurality of queues for performing a particular write operation; and selecting one of the partitions of the disk, wherein blocks of data are written from the selected queue to the selected partition.
 29. The method of claim 28, wherein the file system is a block-based file system including contiguous blocks that form the plurality of partitions.
 30. The method of claim 28, wherein the file system includes an application program interface (API) for interfacing with an operating system of the capture system.
 31. The method of claim 28, wherein the plurality of queues includes a catchall queue for objects not having their own designated queue.
 32. The method of claim 28, wherein object type determinations are performed by identifying a content field of a tag associated with a particular captured object.
 33. The method of claim 28, wherein at least one of the queues is associated with e-mails or word processing documents.
 34. The method of claim 28, wherein the captured objects represented by particular blocks of data can be retrieved in response to a query to search for a tag included in one or more of the captured objects.
 35. The method of claim 28, further comprising: implementing a write policy that designates a certain write performance without regard to read performance.
 36. Logic encoded in non-transitory media that includes code for execution and when executed by a processor operable to perform operations comprising: receiving network traffic via a capture system configured for capturing objects, wherein the capture system includes a file system configured to organize data on a disk and to regulate read and write accesses, and wherein the capture system further includes a plurality of queues associated with captured objects that are received through the capture system via network traffic, wherein the queues are associated with captured objects having a common trait, and wherein the disk is divided into a plurality of partitions for storing at least some of the captured objects; selecting one of the plurality of queues for performing a particular write operation; and selecting one of the partitions of the disk, wherein blocks of data are written from the selected queue to the selected partition.
 37. The logic of claim 36, wherein the file system is a block-based file system including contiguous blocks that form the plurality of partitions, and wherein the file system includes an application program interface (API) for interfacing with an operating system of the capture system.
 38. The logic of claim 36, wherein the plurality of queues includes a catchall queue for objects not having their own designated queue, and wherein the captured objects represented by particular blocks of data can be retrieved in response to a query to search for a tag included in one or more of the captured objects.
 39. The logic of claim 36, wherein object type determinations are performed by observing a content field of a tag associated with a particular captured object. 